code: def ssh_detection_module(body, num_filter, filter_in, name):
      conv3x3 = conv_act_layer(
          body,
          name + "_conv1",
          num_filter,
          kernel=(3, 3),
          pad=(1, 1),
          stride=(1, 1),
          act_type="",
          separable=True,
          filter_in=filter_in,
      )
      conv5x5, conv7x7 = ssh_context_module(
          body, num_filter // 2, filter_in, name + "_context"
      )
      ret = mx.sym.concat(
          *[conv3x3, conv5x5, conv7x7], dim=1, name=name + "_concat"
      )
      ret = mx.symbol.Activation(
          data=ret, act_type="relu", name=name + "_concat_relu"
      )
      return ret
  
file_path: insightface/detection/retinaface/rcnn/symbol/symbol_mnet.py
imports: import mxnet
  import mxnet.ndarray
  import mxnet.gluon
  import mxnet.gluon.nn
  import mxnet.autograd
  import numpy
  from rcnn.config import config
  from rcnn.PY_OP import rpn_fpn_ohem3
  from rcnn.symbol.symbol_common import get_sym_train
label_desc: Use image node_id 5 for calling a global function with example usage: ssh_detection_module(body, num_filter, filter_in, name) and returns: ret